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air_sea
说明: 一个计算海天背景的工程模型。由matlab编写(A calculation of the engineering model of the sea and the sky background. Prepared by the matlab)
- 2008-12-03 23:28:12下载
- 积分:1
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MIMO_ZF_MMSE
Simulatiom MIMO Zero Forsing, MMSE
- 2014-09-15 19:00:27下载
- 积分:1
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Hotkey
Hotkey traping all Keys grom applications
- 2014-02-09 03:05:50下载
- 积分:1
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location
matlab编写的生源定位程序 采用十字阵型(matlab prepared students locate the program using cross formation)
- 2011-09-04 12:15:10下载
- 积分:1
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AHP
层次分析法!改进的判断矩阵一致性检验 进行矩阵一致性度量的方法主要有两种,一种是由T.L.Saaty提出的一致性比率法C.R.(Consistency Ratio)[13]。还有一种是由Crawford与Williams提出的基于行几何平均法(Row Geometric Mean Method)的几何一致性指标GCI(Geometric Consistency Index)[14]。我们采用的是第一种方法:一致性比率法(C.R.)。(The analytic hierarchy process! Judgment matrix consistency test improved)
- 2013-03-25 19:23:13下载
- 积分:1
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zzznet
自组织神经网络算法的matlab仿真应用(Self-organizing neural network algorithm matlab simulation)
- 2009-07-08 18:58:18下载
- 积分:1
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MATLAB
It can read file, read electric charge etc
- 2014-11-03 18:07:35下载
- 积分:1
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PSCADuser
使用方法,以及一些模型的详细建模方法,方面大家学习交流哈哈(Usage pscad introduction)
- 2012-09-07 21:49:08下载
- 积分:1
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equal-area-critirea
E=input( enter the generator voltage: )
V=input( enter the infinite bus voltage: )
Gx=input( enter the reactance of generator: )
L1x=input( enter the line reactance: )
L2x=input( enter the line reactance: )
L3x=input( enter the line reactance: )
L4x=input( enter the line reactance: )
Pi=input( enter the input power: )
X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x
Pm1=E*V/X1
DO=asin(Pi/Pm1)
A=((L2x*L3x)/(2*(L2x+L3x)))
C=A
B=((L3x/2)^2)/(L2x+L3x)
X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B
Pm2=(E*V)/X2
X3=Gx+L1x+L2x+L4x
Pm3=(E*V)/X3
DC=input( enter the fault clearing angle: )
Dm=(3.14-asin(Pi/Pm3))
a1=quad( sin ,DO,DC)
A1=(Pi*(DC-DO)-Pm2*a1)
a2=quad( sin ,DC,Dm)
A2=Pm3*a2-Pi*(Dm-DC)
if(A2>=A1)
disp( the system is stable )
else
disp( the system is unstable )
end
Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2))
disp( critical clearing angle: )
Dcc
- 2012-09-11 22:46:05下载
- 积分:1
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ROC-and-AUC-analysis
A good matlab code that analysis the ROC curve and corresponding AUC value to estimate the sensitive and the currectness of the sample estimate. This code is suitable for variable type and function data.
- 2011-12-15 09:52:20下载
- 积分:1